Identifiability analysis

Score-based Causal Representation Learning: Linear and General Transformations

root February 2, 2024 0

This academic paper addresses the concepts of identifiability and achievability in the context of intervention-based causal representation learning (CRL) under a general nonparametric latent causal model and an unknown transformation….

Machine Learning

Learning characteristic parameters and dynamics of centrifugal pumps under multi-phase flow using physics-informed neural networks

root October 5, 2023 0

This paper presents an approach to estimate system parameters of electrical submersible pumps (ESPs) used in the oil and gas industry, employing Physics-Informed Neural Networks (PINNs). ESPs often handle multiphase…

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Identifiability analysis

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